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Skills

R
Shiny
Python
HTML
CSS
SQL
Apache Spark
Unix
Docker
AWS
Github

Research Interest

Main

Sabbir Ahmed Hemo

Statistician with a demonstrated history of working in the research as well as data science for both industry and non-profit organizations. Skilled in R, Python, Shiny, Big Data and Machine Learning.

Education

MS, Applied Statistics

University of Dhaka

Dhaka, BD

2020 - 2019

  • CGPA: 3.81 out of 4.00

BS, Applied Statistics

University of Dhaka

Dhaka, BD

2018 - 2015

  • CGPA: 3.64 out of 4.00

Job Experience

R/Shiny Developer

Appsilon

Remote

2022

  • Responsible for building enterprise quality Shiny Application for Fortune 500 companies.
  • Currently working on supply chain analytics for one of the top pharma companies.
  • Tech stack: R/Shiny, CSS, JS, Azure Data Bricks, Fluent UI, Github, etc.

Assistant Manager, Credit Analytics

IDLC Finance Ltd

Dhaka, BD

2022 - 2021

  • My role includes developing machine learning models for loan underwriting automation and decision-making.
  • Credit Analytics based on real time data. Generating insight answering business problem.
  • MIS automation with code based apps.

Research Associate

DataSense, iSocial

Dhaka, BD

2021 - 2020

  • Worked on data pipeline to streamline data from BoP to consumers using the Shujog Platform
  • Made data available as insights for users as dashboards (Shiny) and automated report (Rmarkdown)
  • Deployed different ML model and classification algorithm on production using REST Services

Consultant Statistician (Part time)

Grasp Industries Bangladesh

Dhaka, BD

2020 - 2018

  • Deployed CAPI forms to collect data and build dashboard to monitor survey process
  • Created automatic report generation tools using real time data with Rmarkdown

Publications

Performance of Inverse Probability Weighting Compared to Multiple Imputation for Missing Binary Outcomes in Cluster Randomized Trials

On preparation to submit

N/A

2020


Awards and Scholarships

Student Conference Award

41st Annual Conference of the International Society for Clinical Biostatistics (ISCB)

Krakow, Poland

2020

  • Awarded Student Conference Award for the paper on Performance of Inverse Probability Weighting Compared to Multiple Imputation for Missing Binary Outcomes in Cluster Randomized Trials

NST Fellowship

Ministry of Science and Technology, GoB

Dhaka, BD

2020

  • Received grants as NST Fellowship for thesis paper on Performance of Inverse Probability Weighting Compared to Multiple Imputation for Missing Binary Outcomes in Cluster Randomized Trials

Best Poster Presentation Award

2nd International Conference on Applied Statistics 2019

Dhaka, BD

2019

  • Awarded for the paper on Predicting Malnutrition Status of Under-Five Children Using Tree Based Models

ISRT Scholarship

University of Dhaka

Dhaka, BD

2017

  • Awarded for good academic performance

Volunteer Experience

Advisory Member

United Nations Youth Advisory Panel in Bangladesh

Dhaka, BD

2019 - 2014

  • Worked as a technical advisor for UN agencies in Bangladesh
  • Did different kind of surveys and FGDs
  • Helped to organize different training session and workshop

Central Youth Volunteer

Save the Children in Bangladesh

Dhaka, BD

2015

  • Support NCTF program with technical assistance
  • Did interviews and FGDs for the baseline survey of WASH project
  • Organized different training session and workshop

References

  • Dr. Anower Hossain
  • Associate Professor,
  • Institute of Statistical Research & Training,
  • University of Dhaka.


  • Last updated on November 27, 2022.

Membership

Member

International Society for Clinical Biostatistics (ISCB)

N/A

2020